Normalizing Flows

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4 papers in the last four weeks, up 33% on the four weeks before. 0.0% of all new papers.

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  1. Learning CNF Formulas from Uniform Random Solutions: Near-Tight Sample Complexity for Valiant's Algorithm

    Sep 14, 2026Weiming Feng, Yixiao Yu, Yiyao ZhangOptimal Sample ComplexityNormalizing Flows

    School of Computing and Data Science, The University of Hong Kong. · State Key Laboratory for Novel Software Technology, New Cornerstone Science Laboratory, Nanjing University.

  2. Likelihood-free inference with nuisance parameters through normalizing flows

    Sep 9, 2026Phil AsshetonNormalizing FlowsSummary Statistics

    statsadvice.com, Berlin, Germany.

  3. Mode Coverage in Normalizing Flow Boltzmann Generators via Log-Ratio Variation

    Sep 8, 2026Qi Feng, Rongjie Lai, Di Qi +1Normalizing FlowsKullback-Leibler Divergence

    Department of Mathematics, Florida State University, Tallahassee, FL 32306 · Department of Mathematics, Purdue University, West Lafayette, IN 47907

  4. αα-Graph: Attention-Infused Normalizing Flow Approach to Tractable Graph Modeling

    Sep 7, 2026Thanh-Dat Truong, Sarah Alharbi, Susan Gauch +3Graph Representation LearningGraph Neural Networks

    CVIU Lab, Dep. of EECS University of Arkansas · Dep. of Electrical and Computer Engineering Carnegie Mellon University · Dep. of EECS2026 University of Arkansas +1

  5. Learning Informative Prior with Infinite-Dimensional Continuous Normalizing Flow for Bayesian Inverse Problem

    Sep 3, 2026Yang Zhao, Junxiong Jia, Tao ZhouBayesian Inverse ProblemsNormalizing Flows

    School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, China · Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing, 100190, China

  6. Fine-tuned Normalizing Flows for ALICE Zero Degree Calorimeter Fast Simulation

    Aug 13, 2026Emilia Majerz, Jacek Otwinowski, Witold Dzwinel +1Normalizing Flows

    AGH University of Krakow, Poland · The Henryk Niewodniczański Institute of Nuclear Physics, Polish Academy of Sciences

  7. You Only Flow Once: Calibrated and Real-Time Radar Pose Estimation with Multi-Hypothesis Normalizing Flows

    Aug 10, 2026Jonas Leo Mueller, Sebastian Hoefler, Dario Zanca +3Point CloudsNormalizing Flows

    Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany · Munich Center for Machine Learning (MCML), Munich, Germany · Chair of AI-supported Therapy Decisions, LMU München +1

  8. Potential Matching Optimal Transport: Continuous Normalizing Flows for Exact pp-Wasserstein Dynamics

    Aug 6, 2026Lishuo Zhang, Ruizhi Huang, Yang Yu +1Normalizing FlowsVelocity Field

    School of Mathematical Sciences, Shanghai Jiao Tong University · Institute of Natural Sciences, MOE-LSC, Shanghai Jiao Tong University

  9. ReBRAC-v2: The Return of the King

    Aug 2, 2026Denis Tarasov, Robert K. KatzschmannModel-Based Reinforcement LearningSoft Actor-Critic

    Soft Robotics Lab, D-MAVT ETH Zurich, Switzerland

  10. FloDR: An invertible dimensionality reduction method based on a normalising flow

    Jul 28, 2026Abdallah Baraka, Daniel ProbstDimensionality ReductionNormalizing Flows

    Bioinformatics Group Wageningen University & Research Wageningen 6708PB, The Netherlands

  11. Normalizing Flows to Reconstruct Pseudo-PDFs

    Jul 28, 2026Yamil Cahuana Medrano, Kostas OrginosNormalizing FlowsEquivariant Neural Networks

    Department of Physics William & Mary Williamsburg, VA 23185

  12. PAKE: Learning Whole-Body Loco-Manipulation with Partial Kinematic Embeddings

    Jul 13, 2026Zhengmao He, Moonkyu Jung, Hyeongjun Kim +4Humanoid Loco-ManipulationLegged Robots

    The Hong Kong University of Science and Technology (Guangzhou). · Korea Advanced Institute of Science and Technology. · ETH Zurich. +1

  13. NFTR: From Provable Mode-Averaging to Geodesic Subgoal Selection in Offline Goal-Conditioned RL

    Jul 8, 2026Erdemt Bao, Xing Lei, Jun Chen +2Goal-Conditioned Reinforcement LearningReweighting

    Huazhong University of Science and Technology · Xi’an Jiaotong University · University of Electronic Science and Technology of China

  14. Stable Global Weighting of Flow Mixtures using Simplex Exponential Moving Average

    Jul 4, 2026Benjamin Wiriyapong, Oktay Karakus, Can Eyupoglu +1Normalizing FlowsVariational Inference

    School of Computer Science and Informatics, Cardiff University, Abacws, Cardiff, CF24 4AG, U.K. · Department of Computer Engineering, Turkish Air Force Academy, National Defence University, Istanbul, Türkiye.

  15. Physics-informed Conditional Normalizing Flows for Angles-only Cislunar Orbit Determination

    Jun 29, 2026Walther Litteri, Massimiliano VasileNear-Earth ObjectsNormalizing Flows

    Aerospace Centre of Excellence, University of Strathclyde, G11XQ Glasgow, UK · Aerospace Centre of Excellence, University of Strathclyde, G1 1XQ Glasgow, UK

  16. The Fundamental Limits of Valid Transport Map Estimation

    Jun 29, 2026Sivaraman BalakrishnanGenerative ModelsDiffusion Models

    Department of Statistics and Data Science† · Machine Learning Department‡

  17. Factorizable Normalizing Flows for parameter-dependent density morphing

    Jun 29, 2026Davide Valsecchi, Mauro Donegà, Rainer WallnyNormalizing Flows

    Institute for Particle Physics and Astrophysics, D-PHYS, ETH Zurich, Zurich, Switzerland

  18. Normalizing Flow-Enhanced Message Passing for Multirobot Collaborative Localization

    Jun 29, 2026Han Shen, Guanghui Wen, Liangming Chen +1Indoor LocalizationSimultaneous Localization And Mapping

    Department of Systems Science, Southeast University, Nanjing 211189, China · School of Automation, Southeast University, Nanjing 210096, China · School of Automation and Intelligent Manufacturing and Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, Southern University of Science and Technology, Shenzhen 518055, China +1

  19. Simplifying Flow Matching Transformations with Low-Rank Mixture Models

    Jun 29, 2026Liam A. Kruse, Houjun Liu, Alexandros E. Tzikas +2Normalizing FlowsConditional Flow Matching

    Stanford Intelligent Systems Laboratory in the Department of Aeronautics and Astronautics at Stanford University, Stanford, CA 94305, USA · Industrial and Systems Engineering Department at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, 31261, KSA

  20. DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection

    Jun 25, 2026Hun Im, Jungi Lee, Subeen Cha +1Normalizing FlowsUnsupervised Detection

    Seoul National University, Seoul, Korea

  21. MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation

    Jun 24, 2026Yang Chen, Xiaowei Xu, Shuai Wang +4Normalizing FlowsMulti-Reference Image Generation

    State Key Laboratory for Novel Software Technology, Nanjing University · Alibaba Group · Shanghai AI Lab

  22. Amortized Probabilistic Retrieval of Atmospheric CO2 from OCO-2 Spectra Using Deep Learning with Laplace Approximations and Normalizing Flows

    Jun 16, 2026Alejandro Calle-Saldarriaga, Felix Jimenez, Jack Grosskreuz +3Atmospheric DynamicsDeep Learning

    Department of Statistics, University of Wisconsin–Madison · Jet Propulsion Laboratory, California Institute of Technology

  23. Latent Reasoning with Normalizing Flows

    Jun 4, 2026Guancheng Tu, Xiangjun Fu, Suhao Yu +5Efficient Latent ReasoningChain-of-Thought Reasoning

    University of Pennsylvania · UC San Diego · Meta

  24. Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries

    Jun 3, 2026Riccardo Saporiti, Fabio NobileDiffusion BridgesBayesian Inference

    CSQI École Polytechnique Fédérale de Lausanne Lausanne, Switzerland 1015

  25. Non-Vacuous Certification of Transport MCMC via Oscillation-Controlled Normalizing Flows

    May 31, 2026Jun HuMarkov Chain Monte CarloNormalizing Flows

    China Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572025, China · School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China

  26. Local Diagnostics of Continuous Normalizing Flow for Out-of-Distribution Detection

    May 30, 2026Xinwei Cao, Mengxuan Lu, Torbjørn Svendsen +1Out-Of-Distribution DetectionOut-Of-Distribution

    Department of Electronic Systems Norwegian University of Science and Technology Trondheim, Norway · School of Future Technology South China University of Technology Guangzhou, China

  27. A lift for input-convex neural net training

    May 22, 2026Ali SiahkoohiAnisotropic Loss LandscapesModel Weights

    Department of Computer Science University of Central Florida

  28. The Signal in the Noise: OOD Detection Through Goodness-of-Fit Testing in Factorised Latent Spaces

    May 21, 2026Philipp Bomatter, Jack Geary, Henry GoukOut-Of-Distribution DetectionOut-Of-Distribution

    School of Informatics, University of Edinburgh

  29. SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation

    May 18, 2026Longtao Jiang, Jianmin Bao, Zhendong Wang +4Normalizing FlowsMulti-Reference Image Generation

    University of Science and Technology of China · Kling Team, Kuaishou Technology

  30. StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flow

    May 15, 2026Gurjeet Jagwani, Stephen Thorp, Sinan Deger +1Normalizing FlowsLangevin Dynamics

    Institute of Astronomy and Kavli Institute for Cosmology, University of Cambridge, Cambridge, UK · Research Computing Services, University of Cambridge, Cambridge, UK · Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK +1

  31. Machine Learning for neutron source distributions

    May 12, 2026Jose Ignacio Robledo, Norberto Schmidt, Klaus Lieutenant +3Generative ModelsMonte Carlo

    Jülich Centre for Neutron Science (JCNS-2), Forschungszentrum Jülich, Jülich, Germany · Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Jülich, Germany

  32. Operator-Guided Model Reduction for Generative Sampling in Lattice Field Theory

    May 11, 2026Moxian QianEffective Field TheoryMarkovian Sampling

    Johannes Gutenberg University Mainz, 55128 Mainz, Germany

  33. Learning stochastic multiscale models through normalizing flows

    May 10, 2026Anan Saha, Arnab GangulyMultiscale DynamicsStochastic Dynamics

    Department of Mathematics Louisiana State University Baton Rouge, LA 70802

  34. CONTRA: Conformal Prediction Region via Normalizing Flow Transformation

    May 8, 2026Zhenhan Fang, Aixin Tan, Jian HuangOnline Conformal PredictionNormalizing Flows

    Department of Statistics and Actuarial Science The University of Iowa Iowa City, IA 52242, USA · Department of Applied Mathematics The Hong Kong Polytechnic University Hongkong, China

  35. Normalizing Trajectory Models

    May 8, 2026Jiatao Gu, Tianrong Chen, Ying Shen +3Denoising TrajectoryNormalizing Flows

    Apple · UIUC

  36. STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation

    May 8, 2026Ying Shen, Tianrong Chen, Yuan Gao +6Multimodal GenerationGenerative Models

    UIUC · Apple

  37. Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective

    May 7, 2026Meira Iske, Carola-Bibiane SchönliebNormalizing FlowsLipschitz Continuity

    Center for Industrial Mathematics, University of Bremen, Bremen, Germany · Department of Theoretical Physics and Applied Mathematics, University of Cambridge, Cambridge, U.K.

  38. Joint Treatment Effect Estimation from Incomplete Healthcare Data: Temporal Causal Normalizing Flows with LLM-driven Evolutionary MNAR Imputation

    May 6, 2026Olivia Jullian Parra, Sara Zoccheddu, David Catalan Cerezo +7Heterogeneous Treatment EffectsCausal Inferences

    Department of Mathematical Modeling and Machine Learning University of Zürich Winterthurerstrasse 190, Zürich 8057 · Department of Mathematics ETH Zürich Rämistrasse 101, Zürich 8092 · Epidemiology, Biostatistics & Prevention Institute (EBPI), University of Zürich Hirschengraben 84, Zürich 8001 +2

  39. Robust Conditional Conformal Prediction via Branched Normalizing Flow

    May 3, 2026Rui Xu, Xingyuan Chen, Wenxing Huang +4Online Conformal PredictionNormalizing Flows

    Information Hub, The Hong Kong University of Science and Technology (Guangzhou) · The Second Affiliated Hospital of Guangzhou Medical University

  40. Learning Discriminators for Resampling in the Ensemble Gaussian Mixture Filter through a Normalizing Flow Approach

    May 1, 2026Zain Jabbar, Andrey A. PopovParticle FiltersNormalizing Flows

  41. Quantum Dynamics via Score Matching on Bohmian Trajectories

    Apr 28, 2026Lei WangHamiltonianComplex Wavefield

    Beijing National Laboratory for Condensed Matter Physics and Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China

  42. Normalizing Flows with Iterative Denoising

    Apr 21, 2026Tianrong Chen, Jiatao Gu, David Berthelot +2Normalizing FlowsDenoising Diffusion Probabilistic Model

    Apple Machine Learning Research.

  43. Complex normalizing flows can almost be information Kähler-Ricci flows

    Apr 20, 2026Andrew GracykNormalizing FlowsRiemannian Flow Matching

    Department of Mathematics, Purdue University, West Lafayette, IN 47907, United States

  44. A Probabilistic Consensus-Driven Approach for Robust Counterfactual Explanations

    Apr 19, 2026Marcin Kostrzewa, Maciej Zięba, Jerzy StefanowskiCounterfactual ExplanationExplainability

    Wrocław University of Science and Technology, Wrocław 50-347, Poland · Tooploox, Wrocław 53-601, Poland · Poznań University of Technology, Poznań 61-131, Poland

  45. Convergence theory for Hermite approximations under adaptive coordinate transformations

    Apr 18, 2026Yahya SalehNormalizing FlowsConvergence

  46. VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection

    Mar 27, 2026PengYu Chen, Shang Wan, Xiaohou Shi +3Time-Series Anomaly DetectionUnsupervised Detection

    School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing 100876, China · China Telecom Research Institute Beijing, China · Department of Computer Science, Missouri University of Science and Technology, Rolla, MO 65409 USA

  47. Neural Galerkin Normalizing Flow for Transition Probability Density Functions of Diffusion Models

    Mar 19, 2026Riccardo Saporiti, Fabio NobileNormalizing FlowsFokker--Planck Equation

    CSQI, École Polytechnique Féderale de Lausanne, Switzerland

  48. Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows

    Mar 12, 2026David Baumgartner, Eliezer de Souza da Silva, Iñigo UrteagaTime-Series Anomaly DetectionMultivariate Time-Series

    Department of Computer Science, Norwegian University of Science and Technology, Norway · BCAM — Basque Center for Applied Mathematics, Spain · Department of Informatics Engineering, University of Coimbra, Portugal +2

  49. From Core to Detail: Unsupervised Disentanglement with Entropy-Ordered Flows

    Feb 6, 2026Daniel Galperin, Ullrich KötheRepresentation LearningNormalizing Flows

    Heidelberg University

  50. Enhancing Low-resolution Image Representation Through Normalizing Flows

    Jan 11, 2026Chenglong Bao, Tongyao Pang, Zuowei Shen +2Low-ResolutionLearned Image Compression

    Yau Mathematical Sciences Center, Tsinghua University, Beijing, China, and Beijing Institute of Mathematical Sciences and Applications, Beijing, China · Yau Mathematical Sciences Center, Tsinghua University, Beijing, China · Department of Mathematics, National University of Singapore, Singapore +2

  51. CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices

    Oct 29, 2025Xuchen Feng, Siyu LiaoNormalizing FlowsBatch Normalization

    School of Integrated Circuits Sun Yat-sen University

  52. Normalizing Flows are Capable Models for Continuous Control

    May 29, 2025Raj Ghugare, Benjamin EysenbachNormalizing FlowsOffline Reinforcement Learning

    Department of Computer Science Princeton University

  53. Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy

    May 6, 2025Julian P. Merkofer, Dennis M. J. van de Sande, Alex A. Bhogal +1MetabolicBayesian Inference

    Eindhoven University of Technology, Eindhoven, The Netherlands · University Medical Center Utrecht, Utrecht, The Netherlands